Awesome Open Source
Search results for machine learning neural network
2,967 search results found
An Open Source Machine Learning Framework for Everyone
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Deep Learning for humans
Deepfakes Software For All
DeepFaceLab is the leading software for creating deepfakes.
💫 Industrial-strength Natural Language Processing (NLP) in Python
Data Science Ipython Notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Ai Expert Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
Visualizer for neural network, deep learning, and machine learning models
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
Awesome Deep Learning
A curated list of awesome Deep Learning tutorials, projects and communities.
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Open standard for machine learning interoperability
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
Topic Modelling for Humans
Awesome Pytorch List
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Machine Learning Tutorials
machine learning and deep learning tutorials, articles and other resources
Instant neural graphics primitives: lightning fast NeRF and more
Machine learning, in numpy
Python Machine Learning Book
The "Python Machine Learning (1st edition)" book code repository and info resource
Qdrant - Vector Database for the next generation of AI applications. Also available in the cloud https://cloud.qdrant.io/
Mit Deep Learning Book Pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
TensorFlow-based neural network library
Deep learning library featuring a higher-level API for TensorFlow.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Mit Deep Learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Minimal and clean examples of machine learning algorithms implementations
Data-centric declarative deep learning framework
3d Machine Learning
A resource repository for 3D machine learning
TensorFlow tutorials and best practices.
TensorFlow Tutorials with YouTube Videos
Differentiable Computer Vision Library
The next-generation platform to monitor and optimize your AI costs in one place 🚀
Awesome Artificial Intelligence
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
Build your neural network easy and fast, 莫烦Python中文教学
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley 2, 2018.
A customisable 3D platform for agent-based AI research
Learning Convolutional Neural Networks with Interactive Visualization.
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Code for Tensorflow Machine Learning Cookbook
Friendly machine learning for the web! 🤖
A flexible, high-performance serving system for machine learning models
A flexible framework of neural networks for deep learning
header only, dependency-free deep learning framework in C++14
Tensorflow 2.x Tutorials
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
Gluon CV Toolkit
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
Deep Reinforcement Learning for Keras.
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
Image augmentation library in Python for machine learning.
Have Fun With Machine Learning
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
Gorgonia is a library that helps facilitate machine learning in Go.
Learn Data Science For Free
This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in Twitter.
Run Keras models in the browser, with GPU support using WebGL
A C++ standalone library for machine learning
🌸 Run 100B+ language models at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.
🌎 Simple and ready-to-use tutorials for TensorFlow
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
PipelineAI Kubeflow Distribution
Relax! Flux is the ML library that doesn't make you tensor
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
Machine learning, computer vision, statistics and general scientific computing for .NET
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Learning To Learn
Learning to Learn in TensorFlow
Probabilistic reasoning and statistical analysis in TensorFlow
Tensorflow tutorial from basic to hard
Publication-ready NN-architecture schematics.
Plain python implementations of basic machine learning algorithms
Probabilistic time series modeling in Python
Train neural networks up to 7x faster
💁♀️Your new best friend powered by an artificial neural network
Start Machine Learning
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2023 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
Artificial Intelligence Deep Learning Machine Learning Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
Image Super Resolution
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
An Engine-Agnostic Deep Learning Framework in Java
DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Hummingbird compiles trained ML models into tensor computation for faster inference.
Lstm Human Activity Recognition
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
a delightful machine learning tool that allows you to train, test, and use models without writing code
NeuralProphet: A simple forecasting package
A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.
Deep Learning Papers
Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
Rust bindings for the C++ api of PyTorch.
Time series forecasting with PyTorch
[CVPR2020] Adversarial Latent Autoencoders
Simple and comprehensive tutorials in TensorFlow
Python Machine Learning (14,099)
Jupyter Notebook Machine Learning (12,247)
Machine Learning Deep Learning (7,562)
Python Neural Network (7,064)
Deep Learning Neural Network (3,760)
Jupyter Notebook Neural Network (3,677)
Machine Learning Data Science (3,395)
Machine Learning Tensorflow (2,982)
Machine Learning Pytorch (2,264)
Tensorflow Neural Network (2,192)
1-100 of 2,967 search results
Follow Us On Twitter
Copyright 2018-2023 Awesome Open Source. All rights reserved.